Data Articles | Data Science, Business Intelligence, & More

by Jennifer Zaino Graph databases have had it pretty good the past year or so. Some highlights since the end of 2013 include: Gartner for the first time allowed graph databases to be included in its 2014 Magic Quadrant for Operational Database Management System (ODBMS). Graph database management systems saw a more than 250 percent…

by Jennifer Zaino Like most companies, yours probably has in place information governance policies to govern the use of the data you collect to ensure compliance with internal and external privacy, and security requirements. Likewise, your business is apt to have a tool-belt of technologies on hand to monitor and log activity around that data,…

by Jennifer Zaino Nearly a decade ago, there was a vision at Google that sprung from its work on BigTable, the storage system for managing structured data designed to scale to a very large size, and its efforts on Google Earth, the satellite imagery-based mapping service. The sparse, distributed, persistent multidimensional sorted map, which is…

by Jelani Harper The Metadata Governance conundrum operates on myriad levels. Effective Data Governance—perhaps best exemplified by consistently trustworthy levels of data quality—hangs in the balance and hinges upon organizations’ ability to solve it. Doing so, however, is based on the individual definitions, requirements, and business rules that apply to each particular organization, which are…

by Jelani Harper The first wave of IT brought hardware improvements and spanned from the late 1970’s and early 1980’s, until the mid to late 1990’s. The second wave of IT heralded a shift from hardware to software; improved software programs became the principle point of distinction between competitors. Perhaps the most compelling example of…

by Jelani Harper Those still unconvinced of the utility of Cloud Computing and its vitality to Data Management should know three key facts: IDC projected spending on public and private clouds to exceed $100 billion in 2015. The Cloud has long operated as the point of integration (an enabler) between the most salient Data Management…

by Jelani Harper Trends in the Data Management space tend to emerge rapidly and mature slowly. Those that will most impact the way that Data Management is conducted throughout the coming months are explored below. These capabilities for managing data effectively represent the maturation of a number of different technologies, platforms, and capabilities that will…

by Jelani Harper Data Modeling has become easier – in certain instances. It has arisen from the nearly exclusive reach of Data Scientists and IT departments to take up residence where it is needed most—within the comforting confines of the business. There are still a number of caveats involved with this trend, as end users…

by Jennifer Zaino We’re all waiting to see what’s next for the Web of Data – that is, the Semantic Web – after a year that had numerous highlights including: the official publication of HTML5, which boasts the ability to describe the structure of a web document with standard semantics; a flurry of activity for…

by Jelani Harper The most eminent trend pertaining to Data Governance in 2015 does not involve new tools, roles, policies, or strategy—although these facets of Data Governance are vital to implementing effective governance. However, to maintain governance and ensure the aforementioned factors result in organized, quality data in a manner that is both traceable and…